First plant cell atlas workshop report.
First plant cell atlas workshop report.
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DOI：
10.1002/pld3.271
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发表时间：
2020-10
期刊：
影响因子：
3
通讯作者：
Plant Cell Atlas Consortium
中科院分区：
文献类型：
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作者：
Rice S;Fryer E;Ghosh Jha S;Malkovskiy A;Meyer H;Thomas J;Weizbauer R;Zhao K;Birnbaum K;Ehrhardt D;Wang Z;Rhee SY;Plant Cell Atlas Consortium
人口增长和气候变化带来的社会挑战需要植物科学的技术进步。植物研究通过推进改善农业粮食生产、生物能源捕获和转化以及人类健康的技术，为社会做出了重要贡献。然而，植物生物学社区缺乏对分子机制的全面了解，包括它们在细胞内的位置，不同细胞类型之间的分布和变化，以及真实的时间动态。幸运的是，在过去十年中，分子方法，成像，蛋白质组学和代谢组学的快速发展为开发具有高时空分辨率的植物细胞分子水平图谱提供了前所未有的机会。植物细胞图谱（PCA）计划旨在生成一种资源，为植物细胞结构和组织的知之甚少的方面提供新的见解，并能够发现新的细胞区室和特征。PCA将是一个社区资源（www.plantcellatlas.org/），描述各种植物细胞类型的状态，并整合植物细胞内核酸，蛋白质和代谢物的高分辨率时空信息。第一次PCA倡议研讨会召集了热衷于开发全面PCA的科学家，就该领域的现状、最新进展、工具的开发以及该倡议的未来方向进行头脑风暴。讲习班的特点是邀请与会者进行会谈，分享初步数据，沿着分享关于常设仲裁院的更广泛的想法。此外，还围绕常设仲裁院的概念目标、技术挑战以及社区的愿望和需求等主题组织了分组会议。这些活动将具有不同专业知识的科学家联系起来，并引发了关于如何利用和扩展前沿技术以及开发新技术的重要讨论。研讨会的一个主要成果是，社区希望重新定义植物细胞类型和组织的概念定量。长期目标是以高时空分辨率描绘细胞内的所有分子，获得有关相互作用的分子网络的信息，并确定这些网络对整个生物体发育的贡献。作为第一步，我们希望创建转录本，蛋白质和代谢物的全面细胞和亚细胞生物分子图谱，跟踪这些分子在细胞内和细胞间的动态相互作用，识别特定细胞类型的完整状态和转换，并整合这些不同的数据点以生成可测试的细胞功能模型。最终，PCA倡议将通过增强广泛、多元化的科学家群体的能力，在植物科学领域开辟令人兴奋的道路，促进与科学界以外的感兴趣的利益相关者的联系，并为可持续的未来提供新的农业技术，从而产生重大的积极影响。
The societal challenges posed by a growing human population and climate change necessitate technical advances in plant science. Plant research makes vital contributions to society by advancing technologies that improve agricultural food production, biological energy capture and conversion, and human health. However, the plant biology community lacks a comprehensive understanding of molecular machinery, including their locations within cells, distributions and variations among different cell types, and real‐time dynamics. Fortunately, rapid advances in molecular methods, imaging, proteomics, and metabolomics made in the last decade afford unprecedented opportunities to develop a molecular‐level map of plant cells with high temporal and spatial resolution. The Plant Cell Atlas (PCA) initiative aims to generate a resource that will provide fresh insight into poorly understood aspects of plant cell structure and organization and enable the discovery of new cellular compartments and features. The PCA will be a community resource (www.plantcellatlas.org/) that describes the state of various plant cell types and integrates high‐resolution spatio‐temporal information of nucleic acids, proteins, and metabolites within plant cells. This first PCA initiative workshop convened scientists passionate about developing a comprehensive PCA to brainstorm about the state of the field, recent advances, the development of tools, and the future directions of this initiative. The workshop featured invited talks to share initial data, along with broader ideas for the PCA. Additionally, breakout sessions were organized around topics including the conceptual goals of the PCA, technical challenges, and community wants and needs. These activities connected scientists with diverse expertise and sparked important discussions about how to leverage and extend leading‐edge technologies and develop new techniques. A major outcome of the workshop was that the community wishes to redefine concepts of plant cell types and tissues quantitatively. A long‐term goal is to delineate all molecules within the cell at high spatio‐temporal resolution, obtain information about interacting molecular networks, and identify the contribution of these networks to development of the organism as a whole. As a first step, we wish to create comprehensive cellular and subcellular biomolecular maps of transcripts, proteins, and metabolites, track the dynamic interactions of these molecules intra‐ and intercellularly, discern complete states and transitions of specialized cell types, and integrate these disparate data points to generate testable models of cellular function. Ultimately, the PCA initiative will have a substantial positive impact by empowering a broad, diverse group of scientists to forge exciting paths in the field of plant science, facilitating connections with interested stakeholders beyond the scientific community, and enabling new agricultural technologies for a sustainable future.